ArticleBrain connectivity2019
Test-Retest Reliability of Graph Theoretic Metrics in Adolescent Brains.
Article in Brain connectivity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Increased segregation of structural brain networks underpins enhanced broad cognitive abilities of cognitive training.Human brain mapping · 2021Trial
- The relationship between negative life events and cortical structural connectivity in adolescents.IBRO neuroscience reports · 2024Article
- Prediction of cognitive outcome after mild traumatic brain injury from acute measures of communication within brain networks.Cortex; a journal devoted to the study of the nervous system and behavior · 2024Article
- Interoceptive brain network mechanisms of mindfulness-based training in healthy adolescents.Frontiers in psychology · 2024Article
- Constructing representative group networks from tractography: lessons from a dynamical approach.Frontiers in network physiology · 2024Article
- Abnormal Topological Organization of White Matter Structural Networks in Normal Tension Glaucoma Revealed via Diffusion Tensor Tractography.Brain sciences · 2023Article
- Impact of thresholding on the consistency and sensitivity of diffusion MRI-based brain networks in patients with cerebral small vessel disease.Brain and behavior · 2022Article
- The impact of genetic risk for Alzheimer's disease on the structural brain networks of young adults.Frontiers in neuroscience · 2022Article
- Resting state brain subnetwork relates to prosociality and compassion in adolescents.Frontiers in psychology · 2022Article
- The impact of graph construction scheme and community detection algorithm on the repeatability of community and hub identification in structural brain networks.Human brain mapping · 2021Article
- Default mode and salience network alterations in suicidal and non-suicidal self-injurious thoughts and behaviors in adolescents with depression.Translational psychiatry · 2021Article
- Reduced anxiety and changes in amygdala network properties in adolescents with training for awareness, resilience, and action (TARA).NeuroImage. Clinical · 2021Article
- Connectomic consistency: a systematic stability analysis of structural and functional connectivity.Journal of neural engineering · 2020Article
- MRI Insights Into Adolescent Neurocircuitry-A Vision for the Future.Frontiers in human neuroscience · 2020Article
- Optimization of graph construction can significantly increase the power of structural brain network studies.NeuroImage · 2019Article
- Application of machine learning to structural connectome to predict symptom reduction in depressed adolescents with cognitive behavioral therapy (CBT).NeuroImage. Clinical · 2019Article
- The Shared and Distinct White Matter Networks Between Drug-Naive Patients With Obsessive-Compulsive Disorder and Schizophrenia.Frontiers in neuroscience · 2019Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Graph theory analysis of structural brain networks derived from diffusion tensor imaging (DTI) has become a popular analytical method in neuroscience, enabling advanced investigations of neurological and psychiatric disorders. The purpose of this study was to investigate (1) the effects of edge weighting schemes and (2) the effects of varying interscan periods on graph metrics within the adolescent brain. We compared a binary (B) network definition with three weighting schemes: fractional anisotropy (FA), streamline count, and streamline count with density and length correction (SDL). Two commonly used global and two local graph metrics were examined. The analysis was conducted with two groups of adolescent volunteers who received DTI scans either 12 weeks apart (16.62 ± 1.10 years) or within the same scanning session (30 min apart) (16.65 ± 1.14 years). The intraclass correlation coefficient was used to assess test-retest reliability and the coefficient of variation (CV) was used to assess precision. On average, each edge scheme produced reliable results at both time intervals. Weighted measures outperformed binary measures, with SDL weights producing the most reliable metrics. All edge schemes except FA displayed high CV values, leaving FA as the only edge scheme that consistently showed high precision while also producing reliable results. Overall findings suggest that FA weights are more suited for DTI connectome studies in adolescents.
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